4 citations · 6 across the 5 of their papers we have counts for
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cs.AI2022★ 1 cited
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers
Mokanarangan Thayaparan, Marco Valentino, André Freitas
Integer Linear Programming (ILP) provides a viable mechanism to encode explicit and controllable assumptions about explainable multi-hop inference with natural language. However, a…
cs.AI2020★ 4 cited
Case-Based Abductive Natural Language Inference
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Most of the contemporary approaches for multi-hop Natural Language Inference (NLI) construct explanations considering each test case in isolation. However, this paradigm is known t…